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泛癌种实体瘤全基因组分析。

Pan-cancer whole-genome analyses of metastatic solid tumours.

机构信息

Hartwig Medical Foundation, Amsterdam, The Netherlands.

Hartwig Medical Foundation Australia, Sydney, New South Wales, Australia.

出版信息

Nature. 2019 Nov;575(7781):210-216. doi: 10.1038/s41586-019-1689-y. Epub 2019 Oct 23.

DOI:10.1038/s41586-019-1689-y
PMID:31645765
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6872491/
Abstract

Metastatic cancer is a major cause of death and is associated with poor treatment efficacy. A better understanding of the characteristics of late-stage cancer is required to help adapt personalized treatments, reduce overtreatment and improve outcomes. Here we describe the largest, to our knowledge, pan-cancer study of metastatic solid tumour genomes, including whole-genome sequencing data for 2,520 pairs of tumour and normal tissue, analysed at median depths of 106× and 38×, respectively, and surveying more than 70 million somatic variants. The characteristic mutations of metastatic lesions varied widely, with mutations that reflect those of the primary tumour types, and with high rates of whole-genome duplication events (56%). Individual metastatic lesions were relatively homogeneous, with the vast majority (96%) of driver mutations being clonal and up to 80% of tumour-suppressor genes being inactivated bi-allelically by different mutational mechanisms. Although metastatic tumour genomes showed similar mutational landscape and driver genes to primary tumours, we find characteristics that could contribute to responsiveness to therapy or resistance in individual patients. We implement an approach for the review of clinically relevant associations and their potential for actionability. For 62% of patients, we identify genetic variants that may be used to stratify patients towards therapies that either have been approved or are in clinical trials. This demonstrates the importance of comprehensive genomic tumour profiling for precision medicine in cancer.

摘要

转移性癌症是主要的死亡原因之一,与治疗效果不佳有关。需要更好地了解晚期癌症的特征,以帮助制定个性化的治疗方案,减少过度治疗,提高疗效。在这里,我们描述了迄今为止最大的泛癌症转移性实体肿瘤基因组研究,包括 2520 对肿瘤和正常组织的全基因组测序数据,分别在中位数深度为 106×和 38×下进行分析,并检测了超过 7000 万个体细胞变异。转移性病变的特征性突变差异很大,既有反映原发性肿瘤类型的突变,也有很高的全基因组复制事件发生率(56%)。单个转移性病变相对同质,绝大多数(96%)驱动突变是克隆的,多达 80%的肿瘤抑制基因因不同的突变机制而双等位失活。虽然转移性肿瘤基因组与原发性肿瘤具有相似的突变景观和驱动基因,但我们发现了一些特征,这些特征可能有助于个别患者对治疗的反应或耐药性。我们实施了一种方法来审查临床相关的关联及其潜在的可操作性。对于 62%的患者,我们确定了可能用于将患者分层为已批准或正在临床试验中的治疗方法的遗传变异。这证明了全面的肿瘤基因组分析在癌症精准医学中的重要性。

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